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Your Job: In this position, you will be an active part of our ESDE research group and the HClimRep consortium. You will contribute to the development of the HClimRep foundation model for climate
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for self-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meeting
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the functional-structural plant model CPlantBox to include mycorrhization, growth of extraradical hyphae in soil, and water flow and nutrient transfer in the soil-plant-mycorrhiza system. Model parameterisation
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growth and performance. Simulation modelling will be used for an in-depth mechanistic analysis of pre-crop effects and to extrapolate pivotal research findings depicted within the models for future climate
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membranes. You will develop theoretical models and employ computational methods to describe the coupling between ionic nanofluidics, electric double-layer charging, and interfacial reactivity in electrolyte
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PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
Your Job: The aim of this doctoral project is to develop physical simulation models for memristive devices. In particular, a compact model that describes the switching behavior of gradual switching
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. For this reason, it is necessary to develop new and groundbreaking architectures and circuit topologies. Modeling electronics and their interfaces to qubits in this challenging environment is an essential part of
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the beginning. Hence, materials in energy scenarios should be modeled integrally. Therefore, as part of this doctoral thesis, the materials required for the energy transition will be collected, analyzed and
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designs in terms of their techno-economic characteristics an optimization model is to be developed in the institutes’ inhouse modelling framework FINE (https://github.com/FZJ-IEK3-VSA/FINE) in
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Design and implement different model configurations to simulate various grid configurations and assess their performance Investigate and apply optimization methods to improve grid resilience and